Open-source Hybrid Classical-Quantum Machine Learning Framework

We release TorchQuantum, an open-source PyTorch-centric hybrid classical-quantum machine learning framework. We support easy construction of parameterized quantum circuits in PyTorch; bach mode inference and training on CPU/GPU;dynamic computation graph for easy debugging; and easy deployment on real quantum devices such as IBMQ. We can support more than 26-qubit simulation with order-of-magnitude faster speed than PennyLane. The official website is at qmlsys.